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AdTech AI Files
Steven Ohrnstein from Viant Technology
30 episodes
5 days ago
Byte Size AdTech Insights for Those of Us Who Live in an AI World For AdTech marketers navigating the intersection of AI, Measurement, and CTV, this podcast delivers byte-sized insights to keep you ahead. Whether you're scaling campaigns, optimizing media spend, or decoding attribution, we break it down—fast, smart, and straight to the point. 🎯 Topics: Incrementality, Attribution, Growth Marketing, CTV, and more. #MarketingMeasurement #AdTech #AI #CTV #Attribution #GrowthMarketing #MediaBuying #MarketingStrategy
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Marketing
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All content for AdTech AI Files is the property of Steven Ohrnstein from Viant Technology and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Byte Size AdTech Insights for Those of Us Who Live in an AI World For AdTech marketers navigating the intersection of AI, Measurement, and CTV, this podcast delivers byte-sized insights to keep you ahead. Whether you're scaling campaigns, optimizing media spend, or decoding attribution, we break it down—fast, smart, and straight to the point. 🎯 Topics: Incrementality, Attribution, Growth Marketing, CTV, and more. #MarketingMeasurement #AdTech #AI #CTV #Attribution #GrowthMarketing #MediaBuying #MarketingStrategy
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Marketing
Business
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#14 | Why Lookback Windows Matter
AdTech AI Files
4 minutes 41 seconds
8 months ago
#14 | Why Lookback Windows Matter

Why Incremental Lift Shrinks Over Time: The Lookback Window Effect ⏳📉


When clients ask "I thought lift would be higher/lower, my 1st question back is what lookback window are you using?"


One of the biggest factors in incremental lift measurement isn’t just the ad itself, it’s how long you wait to measure it.


✅ The shorter the lookback window, the higher the incremental lift.

✅ The longer the lookback window, the lower the lift.


Why? Because marketing works, but so does time.


At first, your test group (who saw the ad) is converting quickly, while your control group (who didn’t) hasn’t had time to act. But over time, some of the control group will naturally convert on their own, shrinking the perceived lift.


Lookback Window Impact on Lift:

📅 Day 1: 🚀 Huge lift! The test group is converting immediately after seeing the ad, while the control group has barely moved.

📅 Day 7: 🔥 Still strong lift—marketing is driving action faster than natural conversions.

📅 Day 14: 📉 Lift starts to drop as some of the control group naturally converts.

📅 Day 30: ⏳ Lift is at its lowest, as many in the control group who would have converted anyway have now done so.


What This Means for Marketers:

🔹 Short lookback windows (1-7 days) tend to overestimate lift because the control group hasn’t had time to convert.

🔹 Longer windows (14-30 days) give a more realistic picture but may undervalue short-term campaign impact.

🔹 The right lookback window depends on your product & buying cycle. A fast-moving CPG item might need a 7-day window, while a high-consideration purchase like a car or insurance policy might need 30+ days.


Marketing accelerates conversions, but time naturally fills the gap.


The key to accurate incrementality? Choosing a lookback window that reflects how real consumers behave. 🚀


#Incrementality #LiftAnalysis #MarketingMeasurement #AdTech #DigitalMarketing #GrowthMarketing #Attribution #MarketingAnalytics

AdTech AI Files
Byte Size AdTech Insights for Those of Us Who Live in an AI World For AdTech marketers navigating the intersection of AI, Measurement, and CTV, this podcast delivers byte-sized insights to keep you ahead. Whether you're scaling campaigns, optimizing media spend, or decoding attribution, we break it down—fast, smart, and straight to the point. 🎯 Topics: Incrementality, Attribution, Growth Marketing, CTV, and more. #MarketingMeasurement #AdTech #AI #CTV #Attribution #GrowthMarketing #MediaBuying #MarketingStrategy